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Uberall Multi-Location Marketing Platform

Uberall is designed for brands with multiple physical locations that need to sync business data across various directories and AI platforms.

At a glance

Category
Marketing
Best for
Mid-market companies, Enterprise companies, Multi-location brands, Franchise operators
Pricing
Pricing for GEO Studio is based on a usage-based credit model where packages are purchased based on monthly usage needs. Buyers should confirm overall pricing on the vendor website.
Key use cases
Synchronizing Multi-Location Data, Scaling Review Responses, Improving AI Search Visibility, Managing Local Social Presence
Integrations
Salesforce, Zendesk, Power BI, Tableau, Shopify
Official website
uberall.com
Screenshot of uberall website

Uberall is a multi-location marketing platform for brands that need to maintain consistent business information across numerous physical sites. It centralizes the management of local listings, customer reviews, and social engagement to help businesses appear in local search results and AI-generated answers.

The tool supports companies in sectors such as retail, healthcare, automotive, and food and beverage. It supports the synchronization of data across over 125 directories, which may help reduce customer confusion caused by inconsistent store hours or addresses.

Beyond listings, the platform includes tools for managing reputation via AI-powered review responses and optimizing for AI search engines through GEO Studio. It also provides analytics to track how digital visibility may correlate with store visits and revenue.

Buyers should confirm how the usage-based credit model for GEO Studio fits their budget.

Key Features

Listings Management

Supports creating and syncing business information across 125+ directories, including Google, Apple Maps, and Yelp.

Review Management

Centralizes customer feedback into one inbox with AI-powered tools for generating review responses.

GEO Studio

Designed to help brands track their share of voice and optimize visibility across LLM models like ChatGPT and Gemini.

Local Social Media Management

Supports the generation and publishing of localized content across platforms like Facebook and Instagram.

Location Performance Analytics

Tracks metrics such as profile views, direction clicks, and sentiment analysis to monitor location performance.

Locator & Local Pages

Supports the creation of SEO and GEO optimized local landing pages with built-in calls to action.

Use Cases

Synchronizing Multi-Location Data

Updating store hours, addresses, and contact details across 100+ directories from a single dashboard.

Scaling Review Responses

Using AI to generate individualized replies to customer reviews across multiple sites.

Improving AI Search Visibility

Monitoring how AI models cite the brand and creating optimized content to appear in AI-driven search results.

Managing Local Social Presence

Scheduling localized social media posts that maintain brand standards.

Best For

Mid-market companiesEnterprise companiesMulti-location brandsFranchise operators

Integrations

SalesforceZendeskPower BITableauShopifyCanvaGoogle AnalyticsMeta

Pricing

Pricing for GEO Studio is based on a usage-based credit model where packages are purchased based on monthly usage needs. Buyers should confirm overall pricing on the vendor website.

FAQ

What does Uberall do for multi-location businesses?

It centralizes the management of business listings across 125+ directories and provides tools for review responses and AI search optimization across multiple physical locations.

How does the pricing for GEO Studio work?

GEO Studio uses a usage-based credit model where users purchase monthly credit packages that are consumed as the platform's AI analysis and content tools are used.

Can I update multiple locations at once?

Yes, Uberall supports bulk updates for location data, including hours and descriptions, via Excel spreadsheet uploads or API.

Source category: Marketing

Source subcategory: SEO

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Uberall Multi-Location Marketing Software – AI Tools for Business